The present study aimed at performing PM₁₀ source apportionment, using positive matrix factorization (PMF), based on filter samples collected every 4 h at a sub-urban station in the Paris region (France) during a PM pollution event in March 2015 (PM₁₀ > 50 μg m⁻³ for several consecutive days). The PMF model allowed to deconvolve 11 source factors. The use of specific primary and secondary organic molecular markers favoured the determination of common sources such as biomass burning and primary traffic emissions, as well as 2 specific biogenic SOA (marine + isoprene) and 3 anthropogenic SOA (nitro-PAHs + oxy-PAHs + phenolic compounds oxidation) factors. This study is probably the first one to report the use of methylnitrocatechol isomers as well as 1-nitropyrene to apportion secondary OA linked to biomass burning emissions and primary traffic emissions, respectively. Secondary organic carbon (SOC) fractions were found to account for 47% of the total OC. The use of organic molecular markers allowed the identification of 41% of the total SOC composed of anthropogenic SOA (namely, oxy-PAHs, nitro-PAHs and phenolic compounds oxidation, representing 15%, 9%, 11% of the total OC, respectively) and biogenic SOA (marine + isoprene) (6% in total). Results obtained also showed that 35% of the total SOC originated from anthropogenic sources and especially PAH SOA (oxy-PAHs + nitro-PAHs), accounting for 24% of the total SOC, highlighting its significant contribution in urban influenced environments. Anthropogenic SOA related to nitro-PAHs and phenolic compounds exhibited a clear diurnal pattern with high concentrations during the night indicating the prominent role of night-time chemistry but with different chemical processes involved.

本研究旨在基于2015年3月PM污染事件（PM）在巴黎地区（法国）的一个郊区郊区站点每4小时收集一次的过滤器样本，使用正矩阵分解（PMF）进行PM ₁₀源分配。₁₀  > 50微克m ^-3连续几天）。PMF模型允许对11个源因子进行反卷积。使用特定的一级和二级有机分子标记有利于确定常见来源，例如生物质燃烧和一级交通排放，以及两种特定的生物源SOA（海洋+异戊二烯）和三种人为的SOA（硝基PAHs +氧基PAHs +酚类化合物的氧化）因素。这项研究可能是第一个报告使用甲基硝基邻苯二酚异构体和1-硝基py分别分担与生物质燃烧排放和主要交通排放有关的次生OA的研究。发现次要有机碳（SOC）占总OC的47％。通过使用有机分子标记，可以鉴定出由人为SOA（即，氧-PAHs，硝基-PAHs和酚类化合物氧化，分别占总OC的15％，9％，11％）和生物源SOA（海洋+异戊二烯）（总计6％）。获得的结果还表明，总SOC中的35％来自人为来源，尤其是PAH SOA（氧-PAHs +硝基-PAHs），占总SOC的24％，突显了其在城市受影响环境中的重要贡献。与硝基-PAHs和酚类化合物有关的人为SOA表现出清晰的昼夜模式，夜间浓度高，表明夜间化学作用显着，但涉及不同的化学过程。获得的结果还表明，总SOC中的35％来自人为来源，尤其是PAH SOA（氧-PAHs +硝基-PAHs），占总SOC的24％，突显了其在城市受影响环境中的重要贡献。与硝基-PAHs和酚类化合物有关的人为SOA表现出清晰的昼夜模式，夜间浓度高，表明夜间化学作用显着，但涉及不同的化学过程。获得的结果还表明，总SOC中的35％来自人为来源，尤其是PAH SOA（氧-PAHs +硝基-PAHs），占总SOC的24％，突显了其在城市受影响环境中的重要贡献。与硝基-PAHs和酚类化合物有关的人为SOA表现出清晰的昼夜模式，夜间浓度高，表明夜间化学作用显着，但涉及不同的化学过程。